Capsule CRM → Looker Studio
AI-first ETL from Capsule CRM into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Capsule CRM into Looker Studio
Datrise syncs Capsule CRM's contacts, opportunities, tracks, and lightweight sales process data into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Capsule CRM: SMB CRM for contacts, opportunities, and lightweight workflows.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Capsule CRM entities map to Looker Studio
| Capsule CRM entity | Looker Studio object | Notes |
|---|---|---|
| contacts | capsule_crm_contacts | id PK · custom fields → flattened columns for chart fields |
| opportunities | capsule_crm_opportunities | id PK · linked to capsule_crm_contacts |
| tracks | capsule_crm_tracks | id PK · linked to capsule_crm_contacts |
| lightweight sales process data | capsule_crm_lightweight_sales_process_data | id PK · linked to capsule_crm_contacts |
FAQ
How does Datrise handle Capsule CRM's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Capsule CRM to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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